Pipeline
Compete Name:tps-08-2021-simple-linear-baseline
Pipeline Name:
Experimental Results
| Pipeline ID | Execution time | Memory | Score | Library & Version |
|---|---|---|---|---|
| 33302 | 16.7048124 | 1030.3147706985 | 7.8981108672310905 | numpy,1.17.4 |
| 33302 | 16.7048124 | 1030.3147706985 | 7.8981108672310905 | scikit-learn,1.0.1 |
| 33302 | 16.604100900000002 | 1030.2683105469 | 7.8981108672310905 | numpy,1.17.4 |
| 33302 | 16.604100900000002 | 1030.2683105469 | 7.8981108672310905 | scikit-learn,0.24.2 |
| 33302 | 16.467216299999997 | 1030.0796499252 | 7.8981108672310905 | numpy,1.17.4 |
| 33302 | 16.467216299999997 | 1030.0796499252 | 7.8981108672310905 | scikit-learn,0.23.2 |
| 33302 | 16.455858199999998 | 1029.0470123291 | 7.8981108672310905 | numpy,1.17.4 |
| 33302 | 16.455858199999998 | 1029.0470123291 | 7.8981108672310905 | scikit-learn,0.22.1 |
| 33302 | 16.460416900000002 | 1029.0419464111 | 7.8981108672310905 | numpy,1.17.4 |
| 33302 | 16.460416900000002 | 1029.0419464111 | 7.8981108672310905 | scikit-learn,0.22 |
| 33302 | 16.436226899999998 | 1030.3100566864 | 7.8981108672310905 | numpy,1.18.5 |
| 33302 | 16.436226899999998 | 1030.3100566864 | 7.8981108672310905 | scikit-learn,1.0.1 |
| 33302 | 16.619461 | 1030.268245697 | 7.8981108672310905 | numpy,1.18.5 |
| 33302 | 16.619461 | 1030.268245697 | 7.8981108672310905 | scikit-learn,0.24.2 |
| 33302 | 16.492739 | 1030.0795125961 | 7.8981108672310905 | numpy,1.18.5 |
| 33302 | 16.492739 | 1030.0795125961 | 7.8981108672310905 | scikit-learn,0.23.2 |
| 33302 | 16.347667 | 1029.0459051132 | 7.8981108672310905 | numpy,1.18.5 |
| 33302 | 16.347667 | 1029.0459051132 | 7.8981108672310905 | scikit-learn,0.22.1 |
| 33302 | 16.4655612 | 1029.0410203934 | 7.8981108672310905 | numpy,1.18.5 |
| 33302 | 16.4655612 | 1029.0410203934 | 7.8981108672310905 | scikit-learn,0.22 |
| 33302 | 15.2773424 | 1030.4376134872 | 7.8981108672310905 | numpy,1.19.5 |
| 33302 | 15.2773424 | 1030.4376134872 | 7.8981108672310905 | scikit-learn,1.0.1 |
| 33302 | 15.4513014 | 1030.3911237717 | 7.8981108672310905 | numpy,1.19.5 |
| 33302 | 15.4513014 | 1030.3911237717 | 7.8981108672310905 | scikit-learn,0.24.2 |
| 33302 | 15.328415 | 1030.2030162811 | 7.8981108672310905 | numpy,1.19.5 |
| 33302 | 15.328415 | 1030.2030162811 | 7.8981108672310905 | scikit-learn,0.23.2 |
| 33302 | 15.3220336 | 1029.169462204 | 7.8981108672310905 | numpy,1.19.5 |
| 33302 | 15.3220336 | 1029.169462204 | 7.8981108672310905 | scikit-learn,0.22.1 |
| 33302 | 15.3120305 | 1029.1643314362 | 7.8981108672310905 | numpy,1.19.5 |
| 33302 | 15.3120305 | 1029.1643314362 | 7.8981108672310905 | scikit-learn,0.22 |
